Mycobacterium tuberculosis has a cell membrane sheath which plays an important
role in the pathological process, namely the plasma membrane, cell wall, and
capsules. Peptidoglycan (PG) are one of the cell wall components that specifically
functions in the formation of cell structures and osmotic protection, consequently it
becomes the target of antibacterial drugs. β–lactam antibiotics, such as penicillin,
inhibit PG biosynthesis caused cell death. The formation of PG is regulated by a
series of ripA and ripB protein coding genes. This study aims to apply
bioinformatics under DNA–based molecular technique to design primers that is
capable to detecting and characterizing the M. tuberculosis ripA gene. In this study,
step 1 begins on the collection of M. tuberculosis H37rv isolates, total genome
extraction through the CTAB method. Step 2 are the design and analysis of primers,
amplification of DNA fragments, detection of PCR products, sequencing of
nucleotides and characterization of ripA genes with the MEGA5 program. The ripA
gene primary design was carried out using a database from the National Center for
Biotechnology Information (NCBI) and the primer–BLAST program. From the
results of sequence analysis with phylogenetic analysis (BLAST), it was obtained
that the ripA gene has an amplification length of 912 bp and 100% of genes derived
from M. tuberculosis. The result of gene analysis showed that bioinformatics
became one of the methods to manage and analyze biological data (DNA sequences
and amino acids) from M. tuberculosis. Specific primers designed in this study are
expected to be efficient for use as detection primers for the PCR